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‘Hard Sell Is the Word with Home Computers’ (1990)

Wired | Computing

Pocket-Sized AI Models Could Unlock a New Era of Computing

“When ChatGPT was released in November 2023, it could only be accessed through the cloud because the model behind it was downright enormous.

Today I am running a similarly capable AI program on a Macbook Air, and it isn’t even warm. The shrinkage shows how rapidly researchers are refining AI models to make them leaner and more efficient. It also shows how going to ever larger scales isn’t the only way to make machines significantly smarter.

The model now infusing my laptop with ChatGPT-like wit and wisdom is called Phi-3-mini. It’s part of a family of smaller AI models recently released by researchers at Microsoft.”

From Wired.

Reuters | Science & Technology

Microsoft Readies New AI Model to Compete with Google, OpenAI

“Microsoft is training a new, in-house AI language model large enough to compete with those from Alphabet’s Google and OpenAI, the Information reported on Monday.

The new model, internally referred to as MAI-1, is being overseen by recently hired Mustafa Suleyman, the Google DeepMind co-founder and former CEO of AI startup Inflection, the report said, citing two Microsoft employees with knowledge of the effort…

MAI-1 will have roughly 500 billion parameters, the report said, while OpenAI’s GPT-4 is reported to have one trillion parameters and Phi-3 mini measures 3.8 billion parameters.”

From Reuters.

Phys.org | Computing

First Experimental Proof for Brain-like Computer with Water and Salt

“Theoretical physicists at Utrecht University, together with experimental physicists at Sogang University in South Korea, have succeeded in building an artificial synapse. This synapse works with water and salt and provides the first evidence that a system using the same medium as our brains can process complex information.”

From Phys.org.

Live Science | Computing

Intel Unveils Largest-Ever AI “Neuromorphic Computer”

“Scientists at Intel have built the world’s largest neuromorphic computer, or one designed and structured to mimic the human brain. The company hopes it will support future artificial intelligence (AI) research.

The machine, dubbed ‘Hala Point’ can perform AI workloads 50 times faster and use 100 times less energy than conventional computing systems that use central processing units (CPUs) and graphics processing units (GPUs), Intel representatives said in a statement. These figures are based on findings uploaded March 18 to the preprint server IEEE Explore, which have not been peer-reviewed.”

From Live Science.